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Record W2279112300 · doi:10.13034/jsst.v8i3.92

Design, Prototyping, and Programming of a Bricklaying Robot

2015· article· en· W2279112300 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
venuePublished in a venue whose home country is Canada.

Bibliographic record

VenueJournal of Student Science and Technology · 2015
Typearticle
Languageen
FieldEngineering
TopicInnovations in Concrete and Construction Materials
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsRobotArduinoAutomationKinematicsEngineeringComputer scienceSimulationSoftware engineeringArtificial intelligenceEmbedded systemMechanical engineering

Abstract

fetched live from OpenAlex

This paper presents the development of a Bricklaying Robot capable of building entire walls. This project was motivated by opportunity of automation in construction, which remains costly and inefficient. Several studies have described specialized robot for masonry works, most of them incorporating the human arm concept that requires complex programming and low productivity. In order to improve this model, an innovative concept of a short arm assembled into a lift platform was introduced in this paper. The robot was modeled in Solidworks®, followed by motion study and dynamic analysis to optimize the model. A prototype in 1/4 scale was built to demonstrate its feasibility, detecting and correcting flaws. The prototype was tested by programming servo motors using Arduino UNO hardware and C ++ code. Finally, robot kinematics was analyzed in a construction site scenario. Concordance between the virtual simulation and the experimental prototype results demonstrated the functionality and effectiveness of the proposed design. The invention of this Bricklaying Robot will represent a technological advancement in developing new mechanisms and codes, which may be responsible for increasing productivity and reducing risks of masonry construction. Future analysis of global bricklaying market might be conducted to prove its commercial viability. Cet article présente le développement d’un robot de maçonnerie capable de construire des murs entiers. Le projet est motivé par une grande possibilité pour l’automatisation dans le bâtiment, un domaine qui reste malsain, coûteux et inefficace. Plusieurs recherches discutent des robots spécialisés pour les travaux de maçonnerie ; la plupart de ces robots utilisent le modèle du bras humain, une conception qui nécessite la programmation complexe et présente une perte de productivité. Cet article a pour but d’améliorer le modèle courant en explorant une nouvelle conception d’un bras court, assemblé comme une plate-forme élévatrice. Ce robot a été conçu en Solidsorks®, et une étude de mouvement et une analyse dynamique ont été menées pour optimiser le modèle. Un prototype à l’échelle 1:4 a été conçu pour démontrer la faisabilité du robot, tout en détectant et corrigeant ses défauts. Le prototype a été évalué par la programmation des servomoteurs, en utilisant du matériel informatique d’Arduino UNO et le langage de programmation C ++. Finalement, la cinématique du robot a été analysée en un scénario de chantier de construction. La fonctionnalité et l’efficacité de la conception proposée ont été démontrées par la concordance entre la simulation virtuelle et les résultats du prototype expérimental. L’invention de ce robot de maçonnerie constituera une avance technologique dans l’étude et le développement de nouveaux mécanismes et des codes informatiques, qui permettront d’améliorer la productivité et réduire les risques de maçonnerie. Une analyse de marché mondial de maçonnerie peut être menée à l’avenir pour vérifier la viabilité commerciale du robot.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.399
Threshold uncertainty score0.143

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.031
GPT teacher head0.286
Teacher spread0.255 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it